Job Description

  • Work on advanced analytics that influence enterprise risk decisions
  • Enjoy hybrid flexibility with a Fortune 100 company

About Our Client

The organisation is a major international financial institution recognised for its strong data-driven culture and commitment to innovation. It invests heavily in modern technologies, analytics, and cloud platforms to enhance decision-making and deliver industry-leading solutions.

Job Description

  • Design, develop, and maintain scalable data solutions that support business and risk management initiatives.
  • Analyse complex datasets from multiple sources to generate actionable insights.
  • Build dashboards, reports, and visualisation tools that empower business stakeholders.
  • Collaborate with business teams to translate requirements into data-driven solutions.
  • Develop automation and self-service analytics capabilities to improve efficiency.
  • Support data governance, quality assurance, metadata management, and data lineage initiatives.
  • Create monitoring and reporting tools to assess and maintain data quality standards.
  • Work closely with technology teams to ensure secure data access and governance controls.
  • Explore and implement emerging technologies and open-source tools to enhance analytics capabilities.
  • Leverage cloud technologies and modern data platforms to drive innovation.

The Successful Applicant

  • Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Analytics, Finance, IT, or a related quantitative discipline.
  • Minimum 2 years of experience in data analytics, data science, or data engineering.
  • At least 1 year of hands-on experience using SQL and Python.
  • Experience with business intelligence and data visualisation tools such as Tableau, Power BI, or similar platforms.
  • Strong understanding of data warehousing, SQL databases, and working with structured and unstructured data.
  • Exposure to AWS services and cloud-based data solutions.
  • Strong communication and stakeholder management skills.
  • Experience working in banking, financial services, or insurance sectors is advantageous.
  • Knowledge of data governance, data quality management, and related frameworks is preferred.
  • Familiarity with Agile, Lean, Six Sigma, or other process improvement methodologies is beneficial.

What's on Offer

  • Opportunity to join a Fortune 100 company.
  • Exposure to large-scale data, analytics, and cloud transformation initiatives.
  • Work on impactful projects supporting enterprise risk management.
  • Hybrid working arrangement with only two office visits per month in their Alabang office.
  • Mid-shift (3PM to 12AM) schedule supporting global stakeholders.
  • Strong career growth and learning opportunities within a data-driven environment.
  • Collaborative and innovation-focused culture.
  • Exposure to AWS and modern analytics technologies.

Quote job ref: JN-092026-7112893


Job Details

Role Level: Not Applicable Work Type: Full-Time
Country: Philippines City: Muntinlupa City National Capital Region
Company Website: https://redirect.michaelpage.com/mp-home Job Function: Data Science & AI
Company Industry/
Sector:
Other

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